96 lines
2.2 KiB
Markdown
96 lines
2.2 KiB
Markdown
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---
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base_model:
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- OmnicromsBrain/ToppyCox-10.7b
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- OmnicromsBrain/EverythingBagel-10.7b
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tags:
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- merge
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- mergekit
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- lazymergekit
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- OmnicromsBrain/ToppyCox-10.7b
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- OmnicromsBrain/EverythingBagel-10.7b
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---
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# Eros_Scribe-10.7b-v3
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This model was created for the purpose of writing NSFW Prose but it's also very good at RP.
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Versions 1 and 2 were the most verbose models I'd ever merged but they had lost most of their NSFW MoJo.
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I think I finally got the mix right as v3 returns some of the most NSFW I've seen...
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Over a dozen models and at least 25 dataset were involved in this merge. Eros_Scribe-10.7b-v3 is a merge of the following models:
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## OmnicromsBrain/EverythingBagel-DPO-7B
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### jondurbin/bagel-dpo-7b-v0.5
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### SanjiWatsuki/Silicon-Maid-7B
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chargoddard/loyal-piano-m7
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NeverSleep/Noromaid-7b-v0.2
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athirdpath/NSFW_DPO_vmgb-7b
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xDAN-AI/xDAN-L1-Chat-RL-v1
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## OmnicromsBrain/ToppyCox-7B
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### N8Programs/Coxcomb
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### Undi95/Toppy-M-7B
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openchat/openchat_3.5
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NousResearch/Nous-Capybara-7B-V1.9
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HuggingFaceH4/zephyr-7b-beta
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Undi95/zephyr-7b-beta-pippa-sharegpt
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Undi95/Nous-Capybara-7B-V1.9-120-Days
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Undi95/openchat_3.5-LimaRP-13B
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lemonilia/AshhLimaRP-Mistral-7B
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mistralai/Mistral-7B-v0.1
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## ⚡ Quantized Models
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Special thanks to **MRadermacher** for the **static** and **imatrix** quantized models
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**.GGUF** https://huggingface.co/mradermacher/Eros_Scribe-10.7b-v3-GGUF
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**IMatrix** https://huggingface.co/mradermacher/Eros_Scribe-10.7b-v3-i1-GGUF
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## 💻 Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "OmnicromsBrain/Eros_Scribe-10.7b-v3"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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